Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76178, first published .
Identifying Themes for an Initial Beta Version of a Mobile Health App for Latino and Native Hawaiian/Pacific Islander Communities: Co-Design and Community-Based Participatory Research in a Code to Community Study

Identifying Themes for an Initial Beta Version of a Mobile Health App for Latino and Native Hawaiian/Pacific Islander Communities: Co-Design and Community-Based Participatory Research in a Code to Community Study

Identifying Themes for an Initial Beta Version of a Mobile Health App for Latino and Native Hawaiian/Pacific Islander Communities: Co-Design and Community-Based Participatory Research in a Code to Community Study

Research Letter

1Department of Public Health, California State University, San Marcos, San Marcos, CA, United States

2National Latino Research Center, California State University, San Marcos, San Marcos, CA, United States

3Pacific Islander Collective San Diego, San Diego, CA, United States

*all authors contributed equally

Corresponding Author:

Christina K Holub, MPH, PhD

Department of Public Health

California State University, San Marcos

333 S Twin Oaks Valley Road

San Marcos, CA, 92096

United States

Phone: 1 760 750 4295

Email: cholub@csusm.edu


Through a co-design and community-based participatory approach with Latino and Native Hawaiian/Pacific Islander communities, we identified key themes for an initial beta version of a mobile health app, including priorities regarding mental health, access to resources, and chronic disease prevention. Social and cultural connectedness and generational approaches emerged as important strategies for successful intervention design and long-term adoption.

JMIR Form Res 2025;9:e76178

doi:10.2196/76178

Keywords



Adopting innovations has become increasingly important, driven by postpandemic growth in the use of technology for wellness and health care [Qiu Y, Huang H, Gai J, De Leo G. The effects of the COVID-19 pandemic on age-based disparities in digital health technology use: secondary analysis of the 2017-2022 Health Information National Trends Survey. J Med Internet Res. Dec 04, 2024;26:e65541. [FREE Full text] [CrossRef] [Medline]1]. New social norms, attitudes, and behavior patterns impact health and participation in health behavior interventions. Latino and Native Hawaiian/Pacific Islander (NHPI) populations, among the fastest-growing minority US populations [Improved race and ethnicity measures reveal United States population is much more multiracial. United States Census Bureau. 2021. URL: https:/​/www.​census.gov/​library/​stories/​2021/​08/​improved-race-ethnicity-measures-reveal-united-states-population-much-more-multiracial.​html [accessed 2025-05-29] 2], experience exacerbated health disparities. Heart disease, cancer, and diabetes are leading causes of death in these populations, and both have high rates of obesity [Minority population profiles. Office of Minority Health. URL: https://minorityhealth.hhs.gov/minority-population-profiles [accessed 2025-05-29] 3]. Latino and NHPI populations are less likely to receive mental health services [Minority population profiles. Office of Minority Health. URL: https://minorityhealth.hhs.gov/minority-population-profiles [accessed 2025-05-29] 3], even though stigmas have decreased [Pescosolido BA, Halpern-Manners A, Luo L, Perry B. Trends in public stigma of mental illness in the US, 1996-2018. JAMA Netw Open. Dec 01, 2021;4(12):e2140202. [FREE Full text] [CrossRef] [Medline]4].

Formative research is essential to informing culturally tailored and innovative strategies to reduce health disparities and address community priorities. Preliminary analysis of PIC Health (Pacific Islander Community Health/Elige Salud) study data will inform the first phase of developing a beta version of a mobile health (mHealth) app. This will enable collection of detailed feedback on the app’s acceptability, feasibility, and general design from community leaders, members, and other stakeholders. This study aims to identify community priorities and general themes to build the mHealth beta app.


Through a co-design and community-based participatory research (CBPR) approach, we partnered with Latino and NHPI communities to conduct 12 key informant interviews, 4 focus groups, and 2 community stakeholder meetings, divided equally across the groups. Participants were recruited by convenience sampling at cultural organizations, clubs, and community events. Latino-identifying participants (8 female, 3 male) were primarily of Mexican origin and NHPI participants (8 female, 7 male) included Samoan, Native Hawaiian, and Chamorro people. All participants resided in North County, San Diego, and were older than 18 years (range: 18-69 years).

Key informant interviews and focus groups were recorded, transcribed, and uploaded into ATLAS.ti for qualitative coding and analysis. At least two research team members coded, verified, and extracted themes from the transcripts, which were analyzed using directed content analysis to identify and categorize meaningful information about participants’ opinions, perceptions, and experiences [Hsieh H, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. Nov 2005;15(9):1277-1288. [CrossRef] [Medline]5]. Coding strategies included the selection of responses for emergent themes and a priori categories [Ryan GW, Bernard HR. Techniques to identify themes. Field Methods. Feb 01, 2003;15(1):85-109. [CrossRef]6]. Emergent themes were verified through team discussions and the coding framework. Once themes were identified, the research team worked with a senior software engineer and computer science students to design a progressive web application (PWA; a website that behaves like a mobile app) as an initial beta mHealth app. The research was deemed exempt by the California State University, San Marcos institutional review board, with informed consent waived (1858351). Data were anonymized and participants received US $30 gift cards for interviews and US $20 gift cards for focus groups.


Across all participants, three major themes were identified for community health priorities: (1) mental health, (2) access to resources and health education, and (3) attention to chronic disease prevention (eg, diabetes, cancer, heart disease). Latino participants emphasized access to health resources and NHPI participants emphasized mental health. In response to questions about improving intervention success, both communities identified two major themes: (1) social and cultural connectedness and (2) attention to generational approaches (Table 1). For the latter, Latino participants identified a need for intergenerational strategies (across generations), while some NHPI participants mentioned multigenerational strategies (tailoring to specific generations).

Based on community stakeholder meetings, theme prioritization, and adaptability to different cultures, the beta mHealth app was created in the PWA format. Figure 1 depicts the alignment between key themes and their corresponding app components.

Table 1. Themes, definitions, and participant quote examples.
ThemeDefinition; participant describes...Example
Community priorities

Mental healthPsychological and emotional well-being; mental health
  • “[W]hen I’m thinking about the young people that we’ve worked with is, um, mental health and access to mental health.” [NHPIa participant]
  • “Also, I feel like there’s just like a stigma with like mental health, you know, sometimes with the community, with like behavioral health and stuff like that...” [Latino participant]

Access to health resourcesNeed for access to health services or options to improve approaches to health services; not only the first access but also continuous service
  • “If we just had access to education or if we just had better trust with some of these things – [family member] would not have passed away.” [NHPI participant]
  • “It’s still a lack of access. Just a lack of knowledge of what, like, what services are out there.” [Latino participant]

Chronic disease preventionDiseases or conditions like hypertension, diabetes, obesity, and other chronic diseases; could be mentioned as underlying conditions
  • “I see a lot of diabetes related complications.” [Latino participant]
  • “I would say they struggle with like obesity and diabetes and gout heart disease are the big ones.” [NHPI participant]
Intervention success

Social and cultural connectednessSpecific ways to connect to culture; cultural protocols
  • “Definitely reminding people, at least on the Latino side for me with my family, like that connection back to a little more of like our roots and more like, because real, traditional, healthy, organic Mexican food, it’s not bad. It’s all the additional everything that we end up with, particularly in the US.” [Latino participant]
  • “I love it when I see...programs where they can connect to traditions.... You know this is what our ancestors did, and this is why they did it, or this was their philosophy, like I love it when they can take something that’s you know...contemporary. You know, but still connecting it to the past.” [NHPI participant]

aNative Hawaiian/Pacific Islander.

Figure 1. Mobile app theme alignment and components, including social connectedness (community calendar), cultural connection (app design, language, and culturally tailored resources), and community resources (separate tabs for health, education, and a combined resource section for culture, arts, and language).

Our research identified major themes from qualitative data that translated into components of an initial mHealth app beta designed for the Latino and NHPI communities. The themes identified in the preliminary analysis for community health priorities include mental health, access to resources, and chronic disease prevention. Themes surrounding intervention success include social and cultural connectedness and generational approaches. Many themes overlap between the Latino and NHPI communities, but cultural details and tailoring should differ.

The initial beta incorporates both communities; however, future work may lead to the need for separate mHealth apps or other advanced strategies to tailor information in real time, such as the use of artificial intelligence to populate appropriate resources, although challenges related to artificial intelligence in mHealth must be addressed [Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano MDP, et al. Quality, usability, and effectiveness of mHealth apps and the role of artificial intelligence: current scenario and challenges. J Med Internet Res. May 04, 2023;25:e44030. [FREE Full text] [CrossRef] [Medline]7]. The next phase of app development will include gathering additional community insights on usability, acceptability, and design improvements through a mixed methods approach. Feedback and ongoing co-design collaboration in this next phase will result in a final mHealth app for beta testing. Overall, to address health equity, co-design and CBPR approaches with the communities who benefit are essential for adoption of new technologies and greater mHealth intervention success.

Acknowledgments

This work could not be possible without community wisdom, knowledge, and an unwavering passion to improve Latino and Native Hawaiian and Pacific Islander health. We are grateful to Ana Paula Muraro (visiting faculty scholar); the California State University, San Marcos National Latino Research Center; our PIC Health (Pacific Islander Community Health/Elige Salud) team, including our nonauthor team members who supported this initial phase of research (Ana Ardon, Alyssa Lane, Amy Gonzalez, Maja Loba, and Lorenzo Cataquiz); and our first computer science student team (Adam Salter, Nathan Potraz, Billy Vo, Kane Svelan, and Michael Duggan). Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health (award R16GM145519). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author MM is not affiliated with any institution, but is an independent Senior Software Engineer Consultant in San Diego, CA, United States.

Conflicts of Interest

None declared.

  1. Qiu Y, Huang H, Gai J, De Leo G. The effects of the COVID-19 pandemic on age-based disparities in digital health technology use: secondary analysis of the 2017-2022 Health Information National Trends Survey. J Med Internet Res. Dec 04, 2024;26:e65541. [FREE Full text] [CrossRef] [Medline]
  2. Improved race and ethnicity measures reveal United States population is much more multiracial. United States Census Bureau. 2021. URL: https:/​/www.​census.gov/​library/​stories/​2021/​08/​improved-race-ethnicity-measures-reveal-united-states-population-much-more-multiracial.​html [accessed 2025-05-29]
  3. Minority population profiles. Office of Minority Health. URL: https://minorityhealth.hhs.gov/minority-population-profiles [accessed 2025-05-29]
  4. Pescosolido BA, Halpern-Manners A, Luo L, Perry B. Trends in public stigma of mental illness in the US, 1996-2018. JAMA Netw Open. Dec 01, 2021;4(12):e2140202. [FREE Full text] [CrossRef] [Medline]
  5. Hsieh H, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. Nov 2005;15(9):1277-1288. [CrossRef] [Medline]
  6. Ryan GW, Bernard HR. Techniques to identify themes. Field Methods. Feb 01, 2003;15(1):85-109. [CrossRef]
  7. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano MDP, et al. Quality, usability, and effectiveness of mHealth apps and the role of artificial intelligence: current scenario and challenges. J Med Internet Res. May 04, 2023;25:e44030. [FREE Full text] [CrossRef] [Medline]


CBPR: community-based participatory research
DCA: directed content analysis
mHealth: mobile health
NHPI: Native Hawaiian/Pacific Islander
PIC Health: Pacific Islander Community Health (Elige Salud)
PWA: progressive web application


Edited by A Mavragani; submitted 17.04.25; peer-reviewed by J Gai; comments to author 21.05.25; revised version received 23.05.25; accepted 25.05.25; published 12.06.25.

Copyright

©Christina K Holub, Amy L Barrera, Rosalva Romero Gonzalez, Diane Hoang, Luna Prieto, Samuelu Fesili, Tiana Smith, Harleen Kaur, Cassandra Surban, Michael Markidis, Tana Lepule, Konane Martinez. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.06.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.